Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

What separates casual vibe coders from elite builders? It's not better prompts. It's systems. Here's the exact framework I use to keep AI projects production-ready.

Abstract: Floating-point (FP) multipliers are critical components in high-performance computing systems, particularly in signal processing, graphics, and machine learning applications. However, ...

Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an area- and power-efficient ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they perform. By Siobhan Roberts A few weeks ago, a high school student emailed Martin ...

Apple on Tuesday announced a major update to its flagship developer tool that gives artificial intelligence agents unprecedented control over the app-building process, a move that signals the iPhone ...

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...

This repository is the official implementation of CMFS, a unified framework that leverages CLIP-guided modality interaction to mitigate noise in multi-modal image fusion and segmentation.

AR-RAG introduces a novel retrieval augmentation paradigm that enhances modern photorealistic image generation by augmenting image predictions with k-nearest neighbor (k-NN) retrievals at the patch ...